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Machine Learning Engineer (AI hardware)

Oxfordshire, England

Permanent

£60-90k, share options + hybrid working

V-213932

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Machine Learning Engineer

I am seeking an experienced Machine Learning Engineer with expertise in developing ML models for hardware processors, to join my client creating next-gen tech for ultra-fast and efficient AI acceleration. It’s all based on years of ground-breaking research and the succesful Machine Learning Engineer will utilize their expertise in AI model quantization to deploy, analyse and enhance performance.

Primary responsibilities
  • AI model quantization for various fields including LLMs.
  • deploy, analyse and enhance the performance of quantized AI models on a hardware processor.
  • Stay informed about the latest developments in model quantization, analog computing, and AI acceleration.
Essential experience
  • MSc or PhD in Computer Science, EE, Mathematics or similar.
  • Minimum 3+ years in industry as an Machine Learning Engineer working on AI model development for hardware processors, with a focus on quantization
  • Solid understanding of numerical representations used in machine learning and quantization techniques
  • Quantization and model compression tools such as ONNX, TVM
  • PyTorch, TensorFlow

Desirable experience
  • PhD with relevant publications or patents in AI hardware or AI model quantization
  • Model quantization specifically for LLMs

What’s on offer?
  • £60-90k DOE
  • Share options
  • Hybrid working (3+ days on-site per week)
Interested? This is a great opportunity for a Machine Learning Engineer. Please apply now for immediate consideration and speak with Chris Wyatt at IC Resources who is recruiting for this position in Oxford, UK.

 
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